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R0054/2026-03-31/C001 — Self-Audit

ROBIS 4-Domain Audit

Domain 1: Eligibility Criteria

Rating: Low risk

Criterion Assessment
Criteria defined before searching Yes — defined "published AI research system prompt implementing analytical rigor" as inclusion criterion
Criteria applied consistently Yes — applied same standard to Choe's prompt and competing frameworks

Notes: Eligibility criteria were clear and consistently applied.

Domain 2: Search Comprehensiveness

Rating: Some concerns

Criterion Assessment
Multiple search strategies used Yes — searched for Choe's prompt directly and for competing frameworks separately
Searches designed to test each hypothesis Yes — S02 specifically targeted falsification of "first/most complete"
All results dispositioned Yes — 20 results across 2 searches, all dispositioned
Source diversity achieved Partial — limited to web-searchable sources; private/informal prompt sharing channels not accessible

Notes: The main gap is that system prompts shared informally (Discord, private repos, GitHub gists) are not searchable. This is an inherent limitation.

Domain 3: Evaluation Consistency

Rating: Low risk

Criterion Assessment
All sources scored using same framework Yes
Evidence typed consistently Yes
ACH matrix applied Yes
Diagnosticity analysis performed Yes

Notes: Consistent evaluation across both sources.

Domain 4: Synthesis Fairness

Rating: Low risk

Criterion Assessment
All hypotheses given fair hearing Yes — H3 was given full consideration despite being ultimately eliminated
Contradictory evidence surfaced Yes — AI-Researcher framework surfaced as competing evidence
Confidence calibrated to evidence Yes — medium confidence reflects the inherent limitation
Gaps acknowledged Yes — explicitly noted the unknowable comparison set

Notes: The assessment appropriately hedges on the "first" claim while confirming the "complete" aspect.

Domain 5: Source-Back Verification

Rating: Low risk

Source Claim in Assessment Source Actually Says Match?
SRC01 Prompt implements nine ICD 203 tradecraft standards WebFetch confirmed: nine tradecraft standards including inline citations, uncertainty language, competing hypotheses, source credibility audits Yes
SRC01 Originally paywalled on Patreon WebFetch confirmed: "sourced from a previously paywalled Patreon article now made freely available" Yes
SRC02 AI-Researcher launched March 2025 Search results confirmed: "launched on March 4, 2025" and "NeurIPS 2025 Spotlight" Yes

Discrepancies found: 0

Corrections applied: None needed

Unresolved flags: None

Notes: All claims in the assessment accurately reflect the source material.

Overall Assessment

Overall risk of bias: Low risk

The research process was sound. The main limitation is structural — the comparison set for "first/most complete" is inherently unknowable, which is a gap in the evidence landscape rather than a bias in the research process.

Researcher Bias Check

  • Confirmation bias risk: Medium. The researcher's declared bias toward IC frameworks and professional interest in the methodology could lead to overstating Choe's novelty. Mitigated by actively searching for competing frameworks and assigning "Likely" rather than "Almost certain."
  • Anchoring bias risk: Low. The assessment was not anchored to the researcher's framing — the "partially correct" conclusion challenges the researcher's implied position.